Research Output per year
Personal profile
Education/Academic qualification
PHD, University of Iowa
… → 2001
MS, Beijing University of Aeronautics and Astronautics
… → 1995
BS, Beijing University of Aeronautics and Astronautics
… → 1992
Fingerprint Dive into the research topics where Teresa Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Supply chains
Engineering & Materials Science
Magnetic Resonance Imaging
Medicine & Life Sciences
Ambulances
Engineering & Materials Science
Brain
Engineering & Materials Science
Concurrent engineering
Engineering & Materials Science
Imaging techniques
Engineering & Materials Science
Tomography
Engineering & Materials Science
Supply chain management
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1999 2019
A dual-mode deep transfer learning (D2TL) system for breast cancer detection using contrast enhanced digital mammograms
Wang, K., Patel, B. K., Wang, L., Wu, T., Zheng, B. & Li, J., Jan 1 2019, In : IISE Transactions on Healthcare Systems Engineering.Research output: Contribution to journal › Article
Mammography
Learning systems
cancer
Breast Neoplasms
diagnostic
An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction
Qin, Q., Xie, K., He, H., Li, L., Chu, X., Wei, Y. M. & Wu, T., Sep 1 2019, In : Energy Economics. 83, p. 402-414 13 p.Research output: Contribution to journal › Article
Decomposition
Time series
Natural Gas
Electricity
Petroleum
1
Citation
(Scopus)
Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis
Gao, F., Wu, T., Chu, X., Yoon, H., Xu, Y. & Patel, B., Jan 1 2019, In : IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article
Medical imaging
Diagnostic Imaging
Neuroimaging
Neural networks
Precision Medicine
ENTRNA: A framework to predict RNA foldability
Su, C., Weir, J. D., Zhang, F., Yan, H. & Wu, T., Jul 3 2019, In : BMC bioinformatics. 20, 1, 373.Research output: Contribution to journal › Article
Open Access
RNA
Predict
Folding
Structure Prediction
Data-driven
Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI
Gaw, N., Hawkins-Daarud, A., Hu, L. S., Yoon, H., Wang, L., Xu, Y., Jackson, P. R., Singleton, K. W., Baxter, L. C., Eschbacher, J., Gonzales, A., Nespodzany, A., Smith, K., Nakaji, P., Mitchell, J. R., Wu, T., Swanson, K. R. & Li, J., Dec 1 2019, In : Scientific reports. 9, 1, 10063.Research output: Contribution to journal › Article
Open Access
Glioblastoma
Cell Count
Magnetic Resonance Imaging
Neoplasms
Machine Learning
Projects 2003 2022
Banner Alzheimer AARC Deep Learning
Arizona Alzheimer's Consortium
3/1/19 → 2/29/20
Project: Research project
Imaging the migraine brain pre-and post-erenumab: an MRI study
2/13/19 → 2/12/21
Project: Research project
PFI-RP: Building Doctor's Medicine Cabinet (BDMC): Data-Driven Services for High
National Science Foundation (NSF)
9/15/18 → 8/31/21
Project: Research project
Collaborative Development of Software Applications for Statistical Analysis of Pa
7/1/18 → 12/31/19
Project: Research project
Noninvasive MRI techniques to detect pathology in murine models of renal disease
HHS-NIH: National Institute of Diabetes & Digestive & Kidney Diseases (NIDDK)
9/15/17 → 8/31/20
Project: Research project